Scholarly record

ANALYSIS OF THE LOCAL ENVIRONMENTAL CONDITIONS OF LEGUMES USING GLOBAL DATASETS

Dr. Brus Jan, Tomas Burian, assoc. prof. Vilem Pechanec, Dr. Petr Smykal, Dr. Martin Duchoslav

Abstract

The recent development of remote sensing technologies and rapidly accumulating environmental data derived from geographic information systems (GIS) now provide information on the patterns of terrestrial environmental variation at global and continental scales. Moreover, the past decades, an extraordinary amount of work has been undertaken to map species distributions and use the collected information to identify suitable habitats. Remote sensing metrics have become an integral part of SDM studies and contribute the significant amount of spatially explicit data for distribution models given recent development in remote sensing technologies and products. Environmental data relevant for ecophysiology and spatial distribution modelling of legumes includes ecologically important environmental factors. Several geospatial global datasets representing topography, eco-climatological and pedological properties were studied with the main aim to obtain local conditions and to have unified spatial resolution of all environmental factors. Datasets were pre-processed per their key features. Finally, a model for automatic obtaining the data for SDM was developed. Paper presents outcomes of the study, testing and brings comparable metrics between obtained datasets for legume occurrence data.

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